Georgia Institute of Technology - Computational Photography

Computational Photography
at
UDACITY
Overview

Skills you will learn

More about this course

This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images is undertaken over the entire term. The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation.
Topics include the relationship between pictorial techniques and the human visual system; intrinsic limitations of 2D representations and their possible compensations; and technical issues involving capturing light to form images. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. New forms of cameras and imaging paradigms will be introduced.

Introduction

Digital Imaging

Cameras

Comp Vision to Comp Photo

Applications

Light Field

Blue / De-Blur

Video

Closing Thoughts

Irfan Essa

Designation : Instructor

Arpan Chakraborty

Designation : Instructor

David Joyner

Designation : Instructor

Eligibility criteria Up Arrow Icon

Students should be familiar with: College-level linear algebra and calculus: Knowledge of matrices, vectors, differentiation and integration, although the focus will be more on understanding and applying mathematical structures - not necessarily deriving your own; Physics: Vectors, optics; Probability theory: Distributions, density functions. Programming assignments for this course can be completed either using Python-OpenCV (recommended platform) or Matlab/Octave. Working knowledge of either Python or Matlab would thus be required.

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